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What MCP Is

MCP, the Model Context Protocol, is a standard way for tools to expose themselves to AI apps. How it solves the M×N integration problem, and what it does not…

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MCP, the Model Context Protocol, is a standard protocol for connecting AI apps to external tools and data. Tools expose themselves in one standard way, and any app that supports MCP can connect to them.

The problem: M×N integrations#

Before MCP, every AI app that wanted an external tool had to build its own custom integration. Every tool, in turn, had to build a separate integration for each app.

With M apps and N tools, that is M×N integrations to build and maintain. Three apps and four tools already means 12.

Without MCP, every app connects to every tool with its own integration, 3 times 4 is 12; with MCP, each app and each tool connects once to the shared protocol, 3 plus 4 is 7

The fix: one standard#

With MCP, each tool is wrapped once as an MCP server. Each app adds MCP support once. After that, any app can use any server.

Without MCP With MCP
Integrations to build M×N About M+N
Adding a new tool One integration per app One MCP server, usable by every app
Swapping a tool Change the app's code Connect a different server

Build the tool once, and it works everywhere that speaks MCP.

Like USB for AI tools#

Before USB, every device had its own connector. USB standardized the interface, so any device works with any port. MCP does the same for AI tools: one interface between apps and tools.

What MCP does not do#

MCP handles discovery and communication: which tools a server has, what arguments they take, and how to call them. It does not handle trust or permissions.

A tool connected through MCP is not automatically safe to use. Your code is still the safety boundary: validate arguments, check authorization and confirm risky actions as for any tool.

Short line#

MCP is a standard protocol between AI apps and tools. It turns M×N custom integrations into one MCP server per tool and MCP support once per app, like USB for AI tools. It handles discovery and communication, not trust, so a connected tool is not automatically safe.

Key takeaways#

  • Without a standard, M apps and N tools need M×N custom integrations.
  • MCP standardizes how tools expose themselves, so a tool built once works in every MCP app.
  • Each tool becomes an MCP server. Each app adds MCP support once.
  • Think of it as USB for AI tools.
  • MCP handles discovery and communication, not trust or permissions.
Revision notes · 1 min

Core idea#

MCP, the Model Context Protocol, is a standard way for tools to expose themselves to AI apps. Build a tool once, use it in every MCP app.

Key points#

  • Without a standard: M apps × N tools = M×N custom integrations.
  • With MCP: each tool is one MCP server, each app adds MCP support once.
  • Adding a tool means one server, usable by every app.
  • Like USB: one interface instead of a connector per device.

Compare#

Without MCP With MCP
Integrations M×N About M+N
Swap a tool Change app code Connect a different server

Pitfalls#

  • MCP handles discovery and communication, not trust or permissions.
  • A tool connected through MCP is not automatically safe. Validate, authorize, confirm.

Short line#

A standard protocol that turns M×N integrations into one per tool and one per app. Not a safety layer.

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